Playbook

How to Reduce Errors and Defects

Six questions, asked in order, for work that keeps going wrong.

An errors and defects playbook is a six-stage sequence of quality tools that measures how often a process goes wrong, finds where and why, and fixes the causes so the gains hold.

Errors and defects playbook: six stages in order, from Six Sigma Metrics and process mining through Lean Six Sigma and 5S to Business Process Management and Kaizen.

The route

Six questions, in order

The route follows DMAIC, the cycle Lean Six Sigma uses: stage 1 measures, stages 2 and 3 analyze, stage 4 improves, and stages 5 and 6 make the gain hold.

On timing: stages 1 to 3 take four to eight weeks, stage 4 about a week per work area. Stages 5 and 6 start during stage 4, then keep going.

Is the work slow rather than wrong? See How to Speed Up a Slow Business Process.

  1. How often do errors happen?Stage 1 · Six Sigma Metrics

    Passes on: a defect rate you can defend, by type

    Two people count it differently?Agree what a defect is first.

  2. Where in the process do they start?Stage 2 · Process Mining

    Passes on: the paths with the most errors

    Paths all look alike?Look at what comes in, not the steps.

  3. Why do they happen?Stage 3 · Lean Six Sigma (DMAIC)

    Passes on: causes proven with evidence

    A fix proposed before a cause is proven?Send it back.

  4. How do you make the right way the easy way?Stage 4 · 5S

    Passes on: a work area where a mistake looks wrong

    Can't spot a problem from the doorway?It's tidier, not safer.

  5. Who owns the whole process?Stage 5 · Business Process Management

    Passes on: one owner, and one measure end to end

  6. How do errors keep falling?Stage 6 · Kaizen

    Passes on: small improvements, every week

    Suggestions going unanswered?Answer them before asking for more.

  7. Are errors still falling?Then · Track the rate monthly

The example

One company, followed all the way through

This playbook follows one company from start to finish. It is an illustrative composite, and the details are simplified.

A medicine distributor in Manila, the Philippines, buys from drug makers, its suppliers, and delivers to about 3,000 pharmacies, its customers. Its warehouse ships about 100,000 order lines a month; an order line is one product on one pharmacy's order.

Pharmacies complain of wrong items, wrong quantities and stock close to expiry. Each error costs about PHP 900 (Philippine pesos) in a return trip, a second pick and a credit note. The warehouse manager blames careless pickers and wants a second check on every order.

Each stage below ends with what the company produced at that step, so you can watch one stage's output become the next stage's input.

Stage 1 of 6

How often do errors happen, and what do they cost?

Tool: Six Sigma Metrics · Time: 2 to 3 weeks

Start by putting a number on it. Six Sigma Metrics express quality as one rate: count what went wrong, divide by how many chances there were for something to go wrong, and scale it to a million. That is defects per million opportunities, or DPMO, and from it comes a sigma level: the higher, the fewer defects.

The number rests on two definitions: what counts as a defect, and how many opportunities for one each unit holds. Write both down before counting, and keep them fixed.

The defect rate, worked for one month

Defects per million opportunities (DPMO)Defects ÷ (units × opportunities per unit) × 1,000,000

  1. Units and opportunities100,000 order lines, each with 4 chances to go wrong: item, quantity, expiry date, damage
  2. The rate3,280 ÷ (100,000 × 4) × 1,000,000 = 8,200 DPMO
  3. As a sigma levelAbout 3.9 sigma, using the usual 1.5 sigma drift allowance, stated as such

Then split the defects by type, and by who found them. Defects caught inside the business cost rework; defects found by customers cost trust as well.

One exception to the order: if the work area is so disordered that nobody trusts the counts, do a first pass of 5S, from stage 4, before measuring.

One month's 3,280 defects, by type (illustrative). The highlighted row is the largest.
DefectCountShareFound by the pharmacy, not the warehouse
Wrong item, including the wrong strength1,34541%72%
Wrong quantity1,08233%55%
Stock within six months of expiry49215%90%
Damaged36111%40%

What goes inA month or more of error records, complaints and returns.

What comes outThe defect rate, by type, with what it costs and who finds it.

Skip it if: you already report a defect rate with its definitions written down.

Handed to stage 2: 8,200 DPMO, costing about PHP 3 million a month, and most of the errors reaching pharmacies before anyone in the warehouse spots them.

Decision point

If two people would count the same order differently, agree the definitions before going on. A rate nobody trusts can't show whether a fix worked. Here, the warehouse and customer service had each counted damaged cartons differently.

Stage 2 of 6

Where in the process do errors start?

Tool: Process Mining · Time: 2 to 4 weeks

Errors rarely start everywhere. Process mining reads the records your systems already keep and rebuilds how the process actually runs, path by path. It needs an event log: for each item, a case number, what happened, and when.

Part of the event log for one order line (illustrative).
Case: order lineActivityTime
L-482011Released to the warehouseMon 08:02
L-482011Code typed in by hand at the shelfMon 08:41
L-482011PackedMon 09:15
L-482011Returned by the pharmacy: wrong strengthWed 16:20

Compare the paths the data shows with the process as written down. The gap is usually large, and it is made of workarounds everyone thinks too ordinary to mention. Then work out each path's error rate.

Three paths through the warehouse (illustrative). The highlighted path carries most of the errors.
PathShare of linesLines with an errorShare of all errors
Scanned at the shelf, checked at packing79%1.2%29%
Code typed in by hand at the shelf14%12.5%54%
Picked from the overflow area7%8%17%

What goes inThree months of scan records from the warehouse system, and the returns.

What comes outEach path through the process, its share of the work, and its share of the errors.

Skip it if: your systems record no events. Follow 100 items through by hand instead.

Handed to stage 3: one path to explain: 14% of lines have their code typed in by hand, and they carry more than half the errors. The written process says every pick is scanned.

Decision point

If the real process matches the written one and errors are spread evenly, look at what comes in, not at the steps. The cause may be a supplier, a form or a system. Here the paths differed sharply, so the route went on.

Stage 3 of 6

Why do errors happen there?

Tool: Lean Six Sigma (DMAIC) · Time: 2 to 4 weeks

Lean Six Sigma runs improvement projects through five phases, DMAIC. Stage 1 covered the first two. This stage is the third: find the cause, with evidence.

DMAIC: the five phases and the question each answers

DDefine
What problem?
MMeasure
How bad?
AAnalyze
Why?
IImprove
What change?
CControl
Will it hold?

List every cause people suspect, then test each one against the data. The phase exists to rule causes out. Teams under pressure use it to confirm what they suspected in week one, and stop at the first cause that fits.

Five suspected causes, tested (illustrative).
Suspected causeHow it was testedResult
Pickers rush at the end of a shiftTyped codes by hour of the dayFlat all day: ruled out
Shelf labels the scanner can't readTyped codes by shelf, against label age71% at 260 shelves with labels over three years old: proven
Look-alike strengths stored side by sideWrong-item rate next to another strengthThree times the usual rate: proven
Overflow stock has no fixed placeError rate in overflow against the main area8% against 1.2%: proven
New pickersErrors by months in the jobHigher in the first month only: minor

What goes inThe paths with the most errors, from stage 2.

What comes outThe causes proven by data, and the ones ruled out.

Skip it if: the cause is already proven and agreed. Full DMAIC would be dead weight.

Handed to stage 4: three proven causes, all in how the warehouse is set up, and one blamed cause, careless pickers, ruled out.

Decision point

If someone proposes a fix before the cause is proven, send it back. The manager's second check on every order would have cost about 30 staff and fixed none of the three causes.

Stage 4 of 6

How do you make the right way the easy way?

Tool: 5S · Time: about a week for each work area, then a weekly check

Now change things, one at a time, so you can tell which change worked. All three proven causes here were about how the work area was set up, which is what 5S fixes. 5S puts a work area into a known, marked condition, so that anything wrong stands out.

The five steps of 5S

1Sort
Remove what isn't needed for current work
2Set in order
A marked place, item and quantity for everything left
3Shine
Inspection done through cleaning
4Standardize
The condition, written and shown, that makes the first three normal
5Sustain
The habit and the check that keep it

Make the right way the easy way. Where a step can be made impossible to get wrong, do that too. Here the scanner stopped accepting a typed code without a supervisor's badge.

What the warehouse did at each step (illustrative).
StepWhat changed
Sort1,100 doubtful cartons red-tagged and moved out for 30 days
Set in orderNew labels on 260 shelves; look-alike strengths moved apart, with a color band each; fixed places in overflow
ShinePickers check labels and clean scanners at the start of each shift
StandardizeA photo of each aisle's standard at the aisle end
SustainA 10-minute audit every week, with the score posted

What goes inThe proven causes from stage 3, and the work areas where errors start.

What comes outEach area in a marked, known condition, with a weekly check.

Skip it if: never, if any proven cause is in the work area itself.

Handed to stage 5: typed codes down from 14% of lines to 3% in the first two aisles, and then across the warehouse.

Decision point

Stand in the doorway. If you can't tell that something is wrong, the area is tidier, not safer. A missing label should leave a visible gap; a carton in the wrong place should look wrong.

Stage 5 of 6

Who owns the whole process, across every department?

Tool: Business Process Management · Time: 2 to 3 weeks to set up, then a monthly review

Some errors start outside the warehouse. Business Process Management treats a whole chain of work that crosses departments as one thing to be owned and improved for good, not as a project with an end date.

Three Business Process Management terms

1As-is process
How the work runs today, workarounds and all
2To-be process
The redesigned version you intend to run instead
3Process owner
One named person accountable for the whole chain, across departments

Map the chain from the customer's order to the customer's satisfaction, and give it one owner and one measure from start to finish. Each department measuring only its own part is how an error in one becomes a cost in another.

Four departments in one chain (illustrative). The highlighted row explained the short-dated stock.
DepartmentWhat it measuredIts part in the errors
Purchasing and receivingDiscounts won from suppliersAccepted stock close to expiry for a better price
WarehouseLines picked per hourThe typed codes and look-alike strengths
TransportDeliveries on timeDamage from loose loading
Customer serviceCredits issued within 48 hoursNone; it saw every error last

What goes inThe causes from stage 3, and every department the process crosses.

What comes outA named process owner, the to-be process, and one measure from start to finish.

Skip it if: the whole process sits inside one team.

Handed to stage 6: the head of operations as process owner, DPMO from order to pharmacy as the one measure, and an expiry rule written into purchasing's targets.

Decision point

When the project ends, will one named person still be accountable for the whole process? If the answer is a committee, or whichever department touches it last, the gains will decay the moment attention moves.

Stage 6 of 6

How do errors keep falling after the project ends?

Tool: Kaizen · Time: starts during stage 4, then every day

A project fixes the errors you know about. Kaizen finds the next ones. It gets everyone making small improvements as part of ordinary work, and rests on three commitments.

Kaizen's three commitments

1Small
A change small enough to try this week, and undo if it fails
2Everyone
Improvement is part of every job, not a specialist's
3Where the work happens
Designed at the shelf, not in a meeting room; the Japanese word is gemba

The usual form is a short daily meeting where the work is done, and a board for suggestions. Kaizen produces little in its first months, and it fails far more often on managers than on staff: every suggestion needs an answer, quickly and visibly, even the small ones.

Three suggestions from the first month (illustrative).
SuggestionAnsweredResult
Put the fastest-selling strengths at waist heightIn 2 daysTried in one aisle, then everywhere
A red bin for cartons that arrive damagedIn 4 daysDamage claims to suppliers doubled
Longer scanner cablesIn 6 daysNot done; the new scanners are cordless. The picker was told why

What goes inThe new standard from stage 4, and the measure from stage 5.

What comes outA weekly flow of small, tested improvements from the people doing the work.

Skip it if: never. Without it, the gains from stages 4 and 5 slowly leak away.

Handed on: about 30 small changes in the first quarter, most of them from pickers.

Decision point

If suggestions go unanswered for more than a week, stop asking for more until they are answered. An unanswered suggestion teaches people not to make the next one.

Pace

Fast track or thorough

The fast track suits a single team with an obvious hot spot. The thorough run suits a process that crosses departments, where the cause is unknown and errors are expensive. The order of the stages stays the same either way.

What changes between the two paces.
StageFast track (about two weeks)Thorough (two to three months)
1. Six Sigma MetricsA month of complaints, countedDefinitions agreed, and the counting checked
2. Process MiningFifty items followed by handThree months of system records
3. Lean Six SigmaThe team's suspected causes, each checked onceEvery cause tested with data
4. 5SThe area where most errors startEvery area, with weekly audits
5. BPMA named ownerOwner, to-be process and shared measure
6. KaizenA suggestion boardDaily meetings at the work area

Failure modes

How efforts to reduce errors go wrong

Common failures and what prevents them.
What happensWhat it looks likeThe fix
Blaming peopleWarnings and retraining, and the same errorsLook for the cause in the process first
Adding inspectionA second check on everything, and costs to matchPrevent the error at the step where it starts
Fixing before provingChanges that miss the real causeTest each cause with data in stage 3
Changing everything at onceErrors fall, and nobody knows whyOne change at a time, measured
Nobody owns the chainEach department hits its target; errors continueOne process owner and one measure

After the playbook

Tracking the defect rate

Track DPMO every month with the definitions from stage 1, as one of your KPIs, and the share of errors customers find before you do. In the example, DPMO fell from 8,200 to about 3,000 in six months, and the second check on every order was never needed.

When the rate stops falling, run stages 2 and 3 again. The causes found first are rarely the last ones.

Common questions

Errors and defects: quick answers

How do you reduce errors and defects in a process?

Measure the defect rate with fixed definitions, find where in the process the errors start, prove why they happen, then change the work area so the right way is the easy way. Give the whole process one owner, and keep small improvements coming from the people doing the work.

How do you calculate DPMO?

Divide the number of defects by the number of units times the opportunities for a defect in each unit, then multiply by a million. 3,280 defects in 100,000 order lines with 4 opportunities each is 8,200 DPMO.

What is a good sigma level?

It depends on what an error costs. Many business processes run at three to four sigma, roughly 67,000 to 6,000 defects per million. Six sigma, the method's name, means 3.4 per million once the usual drift allowance is applied. Compare your own rate over time, with the definitions fixed, before comparing it with anyone else's.

What is DMAIC?

The five-phase cycle Lean Six Sigma runs improvement projects through: Define what the problem is, Measure how bad it is, Analyze why it happens, Improve it with a tested change, and Control it so the gain holds. A full DMAIC project usually takes months.

Can you use process mining without special software?

For a small process, yes: export the event records to a spreadsheet and sort them by case and time to see each item's path. Without records, follow 50 to 100 items through by hand and note every step and every time one is sent back.

Does 5S work in an office?

Yes, applied to whatever the work uses: shared folders, forms, templates and desks. The test is the same as on a shop floor: can someone tell at a glance when something is missing or in the wrong place?

Should you add more inspection to reduce errors?

Usually not as the main fix. Inspection catches errors after they happen and adds cost to every unit. Find where errors start and prevent them there, and keep inspection for the few checks where an escaped error is very costly.